Skill prompt
--- name: configure-hermes-models-and-providers description: Choose and configure Hermes Agent model providers with a fallback and verification plan. --- # Configure Hermes Models and Providers Use this skill when setting up or troubleshooting Hermes Agent model access. ## Inputs - `preferred_provider`: provider the user wants to use, if any - `budget_priority`: lowest cost, best quality, fastest, local-first, or balanced - `model_tasks`: coding, research, long-context, vision, automation, or chat - `existing_credentials`: which providers are already configured, without revealing secrets ## Procedure 1. Recommend one primary provider and one fallback provider. 2. Explain where credentials should live locally, not in chat. 3. Suggest model choices by task: coding, general chat, long context, auxiliary vision/compression, and cheap routing. 4. Include a smoke test: run a simple single-query chat, then a tool-using request. 5. If a provider fails, inspect config, environment, auth status, and provider-specific error messages before switching models. ## Output format ### Provider recommendation ### Model map by task ### Local configuration checklist ### Smoke tests ### Troubleshooting notes ## Rules - Do not invent provider availability or pricing; check current provider docs or local config when needed. - Do not expose keys in logs or user-visible output. - Prefer provider-agnostic wording so users can adapt this to OpenRouter, Anthropic, OpenAI, local models, or custom endpoints.
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